Data Engineer

Mentor Talent Acquisition; España; Hybrid; EUR 55,000 - 85,000; Full time

Job summary

Mentor Talent Acquisition is seeking a Data Engineer to design and operate scalable ELT pipelines powering analytics, reporting, and core product features. You will work with Python, SQL and AWS, shaping modern data architecture and ensuring data quality, performance, and maintainability.

You will design, build, and maintain pipelines, implement data workflows on AWS, and contribute to the evolution of our Medallion architecture while collaborating with Backend, Frontend, and Product teams to

Qualifications

• Experience building ETL/ELT pipelines in production environments.
• Strong SQL skills and dimensional data modeling.
• Experience with JSON, CSV, Parquet, and APIs.

Responsibilities

• Design, build and maintain scalable ELT pipelines.
• Operate data workflows using AWS (Lambda, Step Functions, S3, Batch).
• Evolve Data Platform architecture (Medallion architecture).
• Ensure data quality, consistency, and reliability across pipelines.

Skills

Python

SQL

AWS

ELT pipelines

Data modeling

CI/CD

Git

Docker

Data quality

Observability

Tools

Lambda

Step Functions

S3

Parquet

Job description

We are looking for a Data Engineer who enjoys building reliable data pipelines. You will help design and operate scalable ELT processes that power analytics, reporting, and core product features. You are comfortable working with Python, SQL and AWS, understand modern data architecture patterns, and care about data quality, performance, and maintainability.

Your responsibilities

• Design, build and maintain scalable ELT pipelines.
• Implement and operate data workflows using AWS (Lambda, Step Functions, S3, Batch, etc.).
• Contribute to the evolution of our Data Platform architecture (Medallion architecture).
• Ensure data quality, consistency, and reliability across pipelines.
• Optimize data transformations for performance and cost efficiency.
• Collaborate with Backend and Frontend Engineers and Product to define data requirements.
• Monitor pipelines, troubleshoot issues and improve observability.
• Document data models, transformations and architecture decisions.
• Experience building ETL/ELT pipelines in production environments.
• Solid experience with AWS (especially Lambda, Step Functions, S3).
• Understanding of Medallion Architecture.
• Strong SQL skills and experience with dimensional data modeling.
• Experience working with structured and semi-structured data (JSON, CSV, Parquet, APIs).
• Understanding of data validation and data quality practices.
• Experience with Git and CI/CD.

Nice to have

• Experience with columnar databases (e.g. ClickHouse, Redshift, BigQuery).
• Familiarity with infrastructure-as-code (e.g. Terraform).
• Experience with Docker.

You can expect

• Being part of a highly motivated international team.
• High ownership and responsibility for your domain.
• A modern data stack and room to shape architecture decisions.
• A workplace in the heart of Vienna or remote options with quarterly office weeks in Vienna